Long simulation, aging, 5 years

[tiagoalvesrosa]

I'm using PyBaMM to simulate the degradation of Li-ion batteries (DFN model with SEI effects enabled) under hourly charge and discharge cycles over time.

My goal is to simulate the battery behavior over a very long period — up to 5 years with a time step of 1 hour (dt = 1h), which results in more than 43,800 consecutive cycles.

I'm currently using Google Colab because I wasn't able to properly set up a local Jupyter environment on my machine to run PyBaMM. However, on Colab I'm facing limitations in terms of runtime and memory, which prevent me from running this long simulation continuously. I even upgraded my Colab plan, but I can still only simulate about 1 month of data at a time before it stops.

Could you help me with any suggestions to overcome these limitations and enable long-term degradation simulations?

Thank you very much for your attention

[wandede0629]

Hello, I would like to research projects related to battery cycle acceleration testing. Do you have relevant experience in this area?